Stratifying the autistic phenotype using electrophysiological indices of social perception - Institut Pasteur Access content directly
Journal Articles Science Translational Medicine Year : 2022

Stratifying the autistic phenotype using electrophysiological indices of social perception

Luke Mason
Christopher Chatham
Lindsay Ham
Julian Tillmann
Claire Ellis
Tony Charman
Sven Bölte
Eva Loth
Flavio Dell’acqua
Emily Jones

Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by difficulties in social communication, but also great heterogeneity. To offer individualized medicine approaches, we need to better target interventions by stratifying autistic people into subgroups with different biological profiles and/or prognoses. We sought to validate neural responses to faces as a potential stratification factor in ASD by measuring neural (electroencephalography) responses to faces (critical in social interaction) in N = 436 children and adults with and without ASD. The speed of early-stage face processing (N170 latency) was on average slower in ASD than in age-matched controls. In addition, N170 latency was associated with responses to faces in the fusiform gyrus, measured with functional magnetic resonance imaging, and polygenic scores for ASD. Within the ASD group, N170 latency predicted change in adaptive socialization skills over an 18-month follow-up period; data-driven clustering identified a subgroup with slower brain responses and poor social prognosis. Use of a distributional data-driven cutoff was associated with predicted improvements of power in simulated clinical trials targeting social functioning. Together, the data provide converging evidence for the utility of the N170 as a stratification factor to identify biologically and prognostically defined subgroups in ASD.

Domains

Neuroscience
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Dates and versions

pasteur-04008720 , version 1 (02-03-2023)

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Attribution - NonCommercial

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Luke Mason, Carolin Moessnang, Christopher Chatham, Lindsay Ham, Julian Tillmann, et al.. Stratifying the autistic phenotype using electrophysiological indices of social perception. Science Translational Medicine, 2022, 14 (658), ⟨10.1126/scitranslmed.abf8987⟩. ⟨pasteur-04008720⟩
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